Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 467

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Improved Thermodynamic Parameters and Helix Initiation Factor to Predict Stability of DNA Duplexes

Open access
Sugimoto, Naoki, Nakano, Shu-ich, Yoneyama, Mari, Honda, Kei-ich·1996·Nucleic Acids Research

Abstract

To improve the previous DNA/DNA nearest-neighbor parameters, thermodynamic parameters (Δ H °, Δ S ° and Δ G °) of 50 DNA/DNA duplexes were measured. Enthalpy change of a helix initiation factor is also considered though the parameters reported recently did not contain the factor. A helix initiation factor for DNA/DNA duplex determined here was the same as that of RNA/RNA duplex (ΔG° 37 = 3.4 kcal/mol). The improved nearest-neighbor parameters reproduced not only these 50 experimental values used here but also 15 other experimental values obtained in different studies. Comparing Δ G ° 37 values of DNA/DNA nearest-neighbor parameters obtained here with those of RNA/RNA and RNA/DNA, RNA/RNA duplex was generally the most stable of the three kinds of duplexes with the same nearest-neighbor sequences. Which is more stable between DNA/DNA and RNA/DNA duplexes is sequence dependent.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/nar/24.22.4501

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Cited by

See all 467

Metadata

Authors
Sugimoto, N., Nakano, S.-I., Yoneyama, M., & Honda, K.-I.
Venue
Nucleic Acids Research
Published
1996-11-01
Volume
24
Issue
22
Pages
4501-4505
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2164604555
Cited by
467
References
3
FWCI
2.47
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Improved Thermodynamic Parameters and Helix Initiation Factor to Predict Stability of DNA Duplexes. https://app.cochat.ai/papers/10.1093/nar/24.22.4501
The paper
Sugimoto, N., Nakano, S.-I., Yoneyama, M., & Honda, K.-I. (1996). Improved Thermodynamic Parameters and Helix Initiation Factor to Predict Stability of DNA Duplexes. Nucleic Acids Research. https://doi.org/10.1093/nar/24.22.4501

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.